{"id":"W3004885182","doi":"10.1016/j.ptsp.2020.02.003","title":"Validity and reliability of a smartphone motion analysis app for lower limb kinematics during treadmill running","year":2020,"lang":"en","type":"article","venue":"Physical Therapy in Sport","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Running Injury Clinic","funders":"","keywords":"Ankle; Touchdown; Kinematics; Physical medicine and rehabilitation; Range of motion; Sagittal plane; Intraclass correlation; Treadmill; Intra-rater reliability; Coronal plane; Medicine; Physical therapy; Orthodontics; Surgery; Anatomy; Physics; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00645667,0.0005668427,0.0003617447,0.001113702,0.0002580679,0.0009624203,0.0004757108,0.0007019576,0.0009756781],"category_scores_gemma":[0.02822015,0.0003113547,0.00094831,0.0004030948,0.0004445272,0.0006652279,0.0008933555,0.0003364565,0.0005492438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615983,"about_ca_system_score_gemma":0.000356189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421399,"about_ca_topic_score_gemma":0.002755199,"domain_scores_codex":[0.9952831,0.001387971,0.0006863825,0.0007635314,0.001683769,0.0001953688],"domain_scores_gemma":[0.9758666,0.0105575,0.00423554,0.001173643,0.007852517,0.0003141699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007664426,0.0002515909,0.9416718,0.0003498858,0.0003331287,0.0001095126,0.001594565,0.0004753253,0.004981683,0.00007531498,0.0006415403,0.04874914],"study_design_scores_gemma":[0.00003718604,0.001169955,0.9893118,0.0001728974,0.0001966327,0.0004370706,0.0008613698,0.004569649,0.002185836,0.0000755763,0.0009498007,0.00003217919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945421,0.0002297377,0.003020784,0.00005700535,0.00004192633,0.0002220566,0.0003641022,0.0000708604,0.00145152],"genre_scores_gemma":[0.9951103,0.0001124101,0.003810282,0.00005150343,0.00001841759,0.0001602993,0.0003007452,0.00001680714,0.0004192518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00645667,"threshold_uncertainty_score":0.03414655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756423723126562,"score_gpt":0.2533249887139797,"score_spread":0.2257607514827141,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}